{"as_of":"2026-08-08T05:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:efbee05fe36282f1a97208cc07832e006c0881fec8ab607ab4134e4dc17a1036","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":21,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:39:48.331865Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T23:36:23.838502Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":"2307.05300","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-07-01T23:36:23.838502Z","title":"Voyager: An open-ended embodied agent with large language models","venue":null,"work_id":"0f6e011b-64c6-4a74-9619-1b6b969fb20d","year":2023},"citing_paper":{"arxiv_id":"2310.02170","last_updated":"2024-11-15T04:30:04Z","snapshot_observed_at":"2026-08-07T04:49:42.215176Z","submitted_at":"2023-10-03T16:05:48Z","title":"A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-21T21:05:25.809179Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2310.02170"},"observation_digest":"sha256:70c279ab703f12ab61ca8980993903ef987a5049f79c26cecd89a096f3ef8d8d","observation_id":"b80b48a2-f4e3-49dc-9a0b-329ea06d7a83","resolution":{"observed_at":"2026-05-21T21:05:25.936695Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":"2307.05300","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-07-01T23:36:23.838502Z","title":"Voyager: An open-ended embodied agent with large language models","venue":null,"work_id":"0f6e011b-64c6-4a74-9619-1b6b969fb20d","year":2023},"citing_paper":{"arxiv_id":"2404.11584","last_updated":"2024-04-17T17:32:41Z","snapshot_observed_at":"2026-08-04T23:37:27.678120Z","submitted_at":"2024-04-17T17:32:41Z","title":"The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-16T23:16:41.679855Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2404.11584"},"observation_digest":"sha256:860cf59c4c358f6ac065a3b93781277e1c3147a34fa48993ee7c1653406e4505","observation_id":"a0da3997-91a6-43ce-ac69-951f01266295","resolution":{"observed_at":"2026-05-16T23:16:41.804842Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-08-07T14:39:48.331865Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18283","last_updated":"2025-05-23T18:28:59Z","snapshot_observed_at":"2026-08-07T14:31:44.638884Z","submitted_at":"2025-05-23T18:28:59Z","title":"TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T14:39:48.331865Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2505.18283"},"observation_digest":"sha256:f47d229ed4b150e730ca96e211b70308c9d39cd5819ef69bff787d44ca7d558a","observation_id":"1eb11468-d624-41b7-ac11-0f6cbbda7b71","resolution":{"observed_at":"2026-08-07T14:39:48.331865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-08-07T13:33:42.220428Z","title":"Unleashing the emergent cognitive synergy in large language models: A task-solving agent through multi-persona self- collaboration","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21503","last_updated":"2025-05-27T17:59:50Z","snapshot_observed_at":"2026-08-07T13:24:19.768146Z","submitted_at":"2025-05-27T17:59:50Z","title":"Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T13:33:42.220428Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2505.21503"},"observation_digest":"sha256:b192326d72c9b57a673de94628176e50ccbf8f7ab539403aed05511176041c72","observation_id":"4b2d2bc9-b02e-43c3-8cde-ae14ad1ecc25","resolution":{"observed_at":"2026-08-07T13:33:42.220428Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-08-07T12:35:20.792211Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24448","last_updated":"2025-05-30T10:35:39Z","snapshot_observed_at":"2026-08-07T12:19:32.059196Z","submitted_at":"2025-05-30T10:35:39Z","title":"Exploring the Impact of Occupational Personas on Domain-Specific QA","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:20.792211Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2505.24448"},"observation_digest":"sha256:df49d1fd9cbfaba80b19a8a6841b8d0ea06bd7886bcc4e617a5ca3c54016a8f6","observation_id":"94d62e98-5b33-4b08-8a1c-af77c600c049","resolution":{"observed_at":"2026-08-07T12:35:20.792211Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-08-07T11:05:22.252022Z","title":"Unleashing the emergent cognitive synergy in large language models: A task-solving agent through multi-persona self-collaboration,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03546","last_updated":"2025-06-04T04:05:38Z","snapshot_observed_at":"2026-08-07T10:58:02.176355Z","submitted_at":"2025-06-04T04:05:38Z","title":"From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T11:05:22.252022Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2506.03546"},"observation_digest":"sha256:71f09178f4d3ce63f5b23de1803cf5c04e63a18ab6280c666759c4d79b7fcbcf","observation_id":"ee431c0e-abb8-49aa-8c47-0b9f67830b80","resolution":{"observed_at":"2026-08-07T11:05:22.252022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-08-07T05:15:46.323581Z","title":"Unleashing the emergent cognitive synergy in large language models: A task-solving agent through multi-persona self-collaboration.arXiv preprint arXiv:2307.05300, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08507","last_updated":"2025-06-12T07:40:49Z","snapshot_observed_at":"2026-08-07T05:06:34.538013Z","submitted_at":"2025-06-10T07:04:25Z","title":"MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:15:46.323581Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2506.08507"},"observation_digest":"sha256:6e64b050e2dc3aa6dbefcc2f5e9bd5cd48bdfc320d3cf1fb9bb58211739d3845","observation_id":"6da77bcb-433c-4cf7-84c1-d7085f949c87","resolution":{"observed_at":"2026-08-07T05:15:46.323581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-08-07T00:48:45.763301Z","title":"Unleashing the emergent cognitive synergy in large language models: A task-solving agent through multi-persona self-collaboration","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.12689","last_updated":"2025-07-21T03:49:38Z","snapshot_observed_at":"2026-08-07T21:58:25.001847Z","submitted_at":"2025-06-15T02:23:47Z","title":"SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:45.763301Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2506.12689"},"observation_digest":"sha256:6d31d7f7869fc869f588938f7744293e89e0f8e8b4608c56580151739590109e","observation_id":"cd2e424f-ac9c-4982-bb87-5e135a6a8932","resolution":{"observed_at":"2026-08-07T00:48:45.763301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-08-07T00:31:00.578651Z","title":"Unleashing cognitive synergy in large language models: A task-solving agent through multi- persona selfcollaboration. arxiv 2023,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13905","last_updated":"2025-09-08T18:17:46Z","snapshot_observed_at":"2026-08-07T17:09:46.132647Z","submitted_at":"2025-06-16T18:33:25Z","title":"Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:00.578651Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2506.13905"},"observation_digest":"sha256:174dba38df123640bdc1f826b07582d56bc95aa231c4ed89e6641df825cff31d","observation_id":"cde82a84-731a-41ac-a7e0-9915fe5e9db7","resolution":{"observed_at":"2026-08-07T00:31:00.578651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-08-06T21:16:50.841505Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00606","last_updated":"2025-07-03T02:30:05Z","snapshot_observed_at":"2026-08-06T21:08:46.623496Z","submitted_at":"2025-07-01T09:39:04Z","title":"Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T21:16:50.841505Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2507.00606"},"observation_digest":"sha256:d29e0644bb0e44943ec75b5de117a2c2de5258bc26973aa469b6207e0c64cfe4","observation_id":"4d9e3b16-a89b-4efe-b75a-9dc6145916c5","resolution":{"observed_at":"2026-08-06T21:16:50.841505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-08-06T18:45:42.325909Z","title":"Unleashing the emergent cognitive synergy in large language models: A task-solving agent through multi- persona self-collaboration","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07400","last_updated":"2025-07-10T03:39:23Z","snapshot_observed_at":"2026-08-07T15:13:30.957626Z","submitted_at":"2025-07-10T03:39:23Z","title":"KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T18:45:42.325909Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2507.07400"},"observation_digest":"sha256:88d0524b0e56b3586d0dd95a5d444755e23e07e05fc48c28f8b709891249714c","observation_id":"007a7681-db51-4dd4-9127-da403a12d622","resolution":{"observed_at":"2026-08-06T18:45:42.325909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-08-06T17:15:44.347608Z","title":"Unleashing the emergent cognitive synergy in large language models: A task- solving agent through multi-persona self-collaboration,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.11310","last_updated":"2025-07-15T13:42:32Z","snapshot_observed_at":"2026-08-06T17:08:40.759428Z","submitted_at":"2025-07-15T13:42:32Z","title":"LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T17:15:44.347608Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2507.11310"},"observation_digest":"sha256:c1710994261092bc67f6143aeb4c24a734a79e2aa9d38a4b7f4f3c94407c0cd7","observation_id":"09c09803-4771-4fe6-aed0-f2a9d315e0d9","resolution":{"observed_at":"2026-08-06T17:15:44.347608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-08-06T15:08:34.473881Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16656","last_updated":"2025-07-22T14:52:25Z","snapshot_observed_at":"2026-08-07T01:18:33.587186Z","submitted_at":"2025-07-22T14:52:25Z","title":"P-CoT: A Pedagogically-motivated Participatory Chain-of-Thought Prompting for Phonological Reasoning in LLMs","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-06T15:08:34.473881Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2507.16656"},"observation_digest":"sha256:c7ed2241e76143f37f3db2ee100a1b9081d41fce63ec583a1876abcfd6ad9350","observation_id":"2047105b-1495-47b5-813c-6432c7bcf2c7","resolution":{"observed_at":"2026-08-06T15:08:34.473881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":"2307.05300","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-07-01T23:36:23.838502Z","title":"Voyager: An open-ended embodied agent with large language models","venue":null,"work_id":"0f6e011b-64c6-4a74-9619-1b6b969fb20d","year":2023},"citing_paper":{"arxiv_id":"2507.21035","last_updated":"2026-05-17T21:43:43Z","snapshot_observed_at":"2026-07-06T22:04:01.721229Z","submitted_at":"2025-07-28T17:55:08Z","title":"GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis","version":3},"reference_index":128,"source":"pdf_text","source_observed_at":"2026-05-22T00:37:11.945418Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2507.21035"},"observation_digest":"sha256:1cc7ee7e733310ffe2cbc9357186dd91b45b86b6308559f37d6a86faf13580d0","observation_id":"e08df66c-5f26-43ea-9a36-4a05e5702382","resolution":{"observed_at":"2026-05-22T00:40:51.264903Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-08-05T05:04:52.726504Z","title":"arXiv preprint arXiv:2307.05300 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.05764","last_updated":"2025-09-06T16:29:42Z","snapshot_observed_at":"2026-08-05T05:04:52.222364Z","submitted_at":"2025-09-06T16:29:42Z","title":"DRF: LLM-AGENT Dynamic Reputation Filtering Framework","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T05:04:52.726504Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2509.05764"},"observation_digest":"sha256:aa6c8206c4e485dd4990116105b9179e93e875c6630143d191ded6ef642c0f5b","observation_id":"188de164-8e78-4f82-985d-d441fd9c0869","resolution":{"observed_at":"2026-08-05T05:04:52.726504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-08-03T03:17:24.995993Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.08567","last_updated":"2026-05-28T08:11:28Z","snapshot_observed_at":"2026-08-03T03:17:20.996807Z","submitted_at":"2026-02-09T12:06:07Z","title":"ValueFlow: Measuring the Propagation of Value Perturbations in Multi-Agent LLM Systems","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-03T03:17:24.995993Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2602.08567"},"observation_digest":"sha256:264eeec156ebc0c2be1f13f727b15ad995a16b6a3ae48e332a96101d97a85132","observation_id":"81536cf1-2584-4df7-9343-73906a2b1b03","resolution":{"observed_at":"2026-08-03T03:17:24.995993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":"2307.05300","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-07-01T23:36:23.838502Z","title":"Voyager: An open-ended embodied agent with large language models","venue":null,"work_id":"0f6e011b-64c6-4a74-9619-1b6b969fb20d","year":2023},"citing_paper":{"arxiv_id":"2604.04060","last_updated":"2026-04-05T11:06:13Z","snapshot_observed_at":"2026-08-02T08:01:35.924581Z","submitted_at":"2026-04-05T11:06:13Z","title":"CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-13T17:06:46.917177Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2604.04060"},"observation_digest":"sha256:b0a24a77b7c9f9bbca5003f18245dd0a9eca90c7597f8988c07ee9e750c60096","observation_id":"e4c60d76-ed98-4dff-af7e-d5657ad64938","resolution":{"observed_at":"2026-05-13T17:08:00.741827Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":"2307.05300","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-07-01T23:36:23.838502Z","title":"Voyager: An open-ended embodied agent with large language models","venue":null,"work_id":"0f6e011b-64c6-4a74-9619-1b6b969fb20d","year":2023},"citing_paper":{"arxiv_id":"2605.12943","last_updated":"2026-05-13T03:26:07Z","snapshot_observed_at":"2026-08-02T16:54:34.012559Z","submitted_at":"2026-05-13T03:26:07Z","title":"Reinforced Collaboration in Multi-Agent Flow Networks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-14T20:42:48.438057Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2605.12943"},"observation_digest":"sha256:1dc46f8a2a1bb78034e044250e9e20eb5ab1ef726a4cdb16b88620fb14100be1","observation_id":"9eca0725-5648-47a3-8994-4683c5b54b78","resolution":{"observed_at":"2026-05-14T20:42:57.132917Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":"2307.05300","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-07-01T23:36:23.838502Z","title":"Voyager: An open-ended embodied agent with large language models","venue":null,"work_id":"0f6e011b-64c6-4a74-9619-1b6b969fb20d","year":2023},"citing_paper":{"arxiv_id":"2606.01803","last_updated":"2026-06-01T07:21:01Z","snapshot_observed_at":"2026-07-06T23:42:16.661228Z","submitted_at":"2026-06-01T07:21:01Z","title":"OctoT2I: A Self-Evolving Agentic Text-to-Image Router","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-28T14:22:57.822123Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2606.01803"},"observation_digest":"sha256:a7eb9a6c20065a751095ab9b2767105f454e68afeb307691b94004363dea9413","observation_id":"04565bc5-6224-4a60-a26c-bc1386d6f0fe","resolution":{"observed_at":"2026-07-01T23:26:22.454086Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":"2307.05300","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-07-01T23:36:23.838502Z","title":"Voyager: An open-ended embodied agent with large language models","venue":null,"work_id":"0f6e011b-64c6-4a74-9619-1b6b969fb20d","year":2023},"citing_paper":{"arxiv_id":"2606.02866","last_updated":"2026-06-01T20:29:47Z","snapshot_observed_at":"2026-08-05T23:22:41.907463Z","submitted_at":"2026-06-01T20:29:47Z","title":"When Helping Hurts and How to Fix It: Multi-Agent Debate for Data Cleaning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-28T14:05:49.696342Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2606.02866"},"observation_digest":"sha256:c15db4f5933cbc516428527d29da0235f0e954e62ad774300b7bbcf72038b1c6","observation_id":"d51d692c-a7bb-4cb4-9e8c-2653e1bac860","resolution":{"observed_at":"2026-07-01T23:36:23.841663Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05300","snapshot_observed_at":"2026-07-12T19:18:43.559541Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05178","last_updated":"2026-04-17T23:02:17Z","snapshot_observed_at":"2026-08-05T17:00:32.906616Z","submitted_at":"2026-04-17T23:02:17Z","title":"The Virtual Roundtable: Multi-Agent Personas Simulating the Dynamics of Human Brainstorming","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-12T19:18:43.559541Z"},"links":{"cited_paper":"/paper/2307.05300","citing_paper":"/paper/2606.05178"},"observation_digest":"sha256:59f6eb0deeb528440615f32e1566de70f8db1dea288e2d1a44710f26de2633ba","observation_id":"aed23477-d3ec-4d47-9463-fd82c2b3dcc5","resolution":{"observed_at":"2026-07-12T19:18:43.559541Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2307.05300/citation-record","integrity":"/paper/2307.05300/integrity","json":"/paper/2307.05300/citation-record.json","paper":"/paper/2307.05300"},"outbound":[],"paper":{"arxiv_id":"2307.05300","last_updated":"2024-03-26T14:32:33Z","latest_version":4,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T15:52:36.416440Z","submitted_at":"2023-07-11T14:45:19Z","title":"Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2307.05300."}